Senior Engineering Program Manager: Apple Music, AI/ML
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Before you apply
LocationLondon, England, United Kingdom
Typefull-time
SenioritySenior
DepartmentMachine Learning and AI, Software and Services, Operations and Supply Chain
Company size10,000+ people
PostedOct 30, 2026 · 5d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Substantial experience as an Engineering Program Manager
Strong technical program manager with a proven track record in driving software development initiatives
Strong ML fluency: hands-on experience driving ML programs, with a working understanding of model training, evaluation, and serving
Demonstrated ability to manage complex dependency chains across multiple engineering organisations
Experienced program manager with a proven track record in driving GenAI, machine learning, and software development initiatives
Experience in the music industry, including working with music labels, is a plus
Understanding of waterfall and agile project management methodologies
Strong facilitation skills to drive complex, cross-functional, and comprehensive projects
Exceptional verbal and written communication, including presentation skills to all levels of an organisation
Experience with establishing processes and/or team culture
Passionate about protecting privacy while delivering key product insights
Prior software development experience is a plus
Computer Science or Engineering majors preferred
Skills
AI
ML
Python
About the company
Apple Services is an exciting environment and a dynamic development organization. With customers around the world, we are a fast-growing marketplace for music, movies, TV shows, books, podcasts, and apps. We’re looking for people who can partner with our stakeholders and Engineering teams to ship complex AI/ML-powered music experiences, driving programs from model development through evaluation, serving, and launch. You will bring deep technical domain expertise to drive server-side initiatives under tight release cycles, moving fluidly between ML research, engineering, and production infrastructure. This is not a task-based job; you will be responsible for successful outcomes and delivery. Strong fundamentals are a requirement but you have more. You take responsibility; you feel a personal stake in the product you ship; you communicate responsibilities and scope clearly; you value integrity; you thrive in conflict; you know how things work; you work for the success of the entire Program Management team; you thrive in uncertainty and strive to bring order to it; you have deep wisdom and judgment; you keep your eye on the ball; you build strong relationships; you are aware of politics but do not get mired in them; you are constantly looking to improve yourself and your team; and you ship code which millions of customers will use.
Description
* Lead projects/programs through the software development lifecycle from planning (which includes scoping, prioritizing, resource allocation, and timelines) to launch.
* Partner with stakeholders and ML engineers to define functional and technical requirements for model development, evaluation, and deployment, including data and serving infrastructure.
* Collaborate with Engineering, Design, Product, QA, Legal, Finance, Privacy, Marketing, Operations, and other organizations both inside and outside of Apple to support AI/ML capabilities and foundational infrastructure in Apple Music.
* Translate deeply technical work, such as model readiness, into clear executive updates and risk assessments.
* Flexible working with teams across US timezones.
* Help establish processes to improve how our products are built and executed.
Minimum qualifications
•
Substantial experience as an Engineering Program Manager.
•
Strong technical program manager with a proven track record in driving software development initiatives.
•
Strong ML fluency: hands-on experience driving ML programs, with a working understanding of model training, evaluation, and serving (e.g., offline/online metrics, offline/online evaluation, deployment tradeoffs).
•
Demonstrated ability to manage complex dependency chains across multiple engineering organisations.
Preferred qualifications
•
Experienced program manager with a proven track record in driving GenAI, machine learning, and software development initiatives.
•
Experience in the music industry, including working with music labels, is a plus.
•
Understanding of waterfall and agile project management methodologies.
•
Strong facilitation skills to drive complex, cross-functional, and comprehensive projects.
•
Exceptional verbal and written communication, including presentation skills to all levels of an organisation.
•
Experience with establishing processes and/or team culture.
•
Passionate about protecting privacy while delivering key product insights.
•
Prior software development experience is a plus.
•
Computer Science or Engineering majors preferred.
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